Journal: Neural Networks

Volume 10, Issue 9

1541 -- 1546Leonid I. Perlovsky, Charles P. Plum, Peter R. Franchi, Elihu J. Tichovolsky, David Choi, Bertus Weijers. Einsteinian neural network for spectrum estimation
1547 -- 1558Guy J. Brown, DeLiang L. Wang. Modelling the perceptual segregation of double vowels with a network of neural oscillators
1559 -- 1569Edmund T. Rolls, Alessandro Treves, David Foster, Conrado J. Pérez-Vicente. Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network
1571 -- 1582Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen. The Population Vector, an unbiased estimator for non-uniformly distributed neural maps
1583 -- 1605Stephen Grossberg, Niall McLoughlin. Cortical dynamics of three-dimensional surface perception: Binocular and half-occluded scenic images
1607 -- 1618Mark Girolami, Colin Fyfe. An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem
1619 -- 1626Peter Whittle. Artificial memories: Capacity, basis rate and inference
1627 -- 1636Makoto Hirahara, Natsuki Oka, Toshiki Kindo. Associative memory with a sparse encoding mechanism for storing correlated patterns
1637 -- 1648Mick Turner, Jim Austin. Matching performance of binary correlation matrix memories
1649 -- 1658Koichi Niijima. Learning of associative memory networks based upon cone-like domains of attraction
1659 -- 1671Wolfgang Maass. Networks of spiking neurons: The third generation of neural network models
1673 -- 1690Isao Tokuda, Tomomasa Nagashima, Kazuyuki Aihara. Global bifurcation structure of chaotic neural networks and its application to traveling salesman problems
1691 -- 1708Csaba Szepesvári, Szabolcs Cimmer, András Lörincz. Neurocontroller using dynamic state feedback for compensatory control
1709 -- 1716Bruno Apolloni, Diego de Falco, John G. Taylor. pRAM layout optimisation
1717 -- 1729Hee-Yeal Yu, Sung Yang Bang. An improved time series prediction by applying the layer-by-layer learning method to FIR neural networks
1731 -- 1732Maria Marinaro, Salvatore Rampone, Roberto Tagliaferri. Response to the letter by Li and Cao

Volume 10, Issue 8

1345 -- 1351Shun-ichi Amari, Tianping Chen, Andrzej Cichocki. Stability Analysis of Learning Algorithms for Blind Source Separation
1353 -- 1359Masataka Watanabe, Kazuyuki Aihara. Chaos in Neural Networks Composed of Coincidence Detector Neurons
1361 -- 1374Igor V. Tetko, Alessandro E. P. Villa. Efficient Partition of Learning Data Sets for Neural Network Training
1375 -- 1390Osamu Hoshino, Noriaki Usuba, Yoshiki Kashimori, Takeshi Kambara. Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme
1391 -- 1415Tohru Nitta. An Extension of the Back-Propagation Algorithm to Complex Numbers
1417 -- 1433Adam Kowalczyk. Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units
1435 -- 1443Fritz Stäger, Mukul Agarwal. Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons
1445 -- 1453Fouad Badran, Sylvie Thiria. Neural Network Smoothing in Correlated Time Series Context
1455 -- 1463John J. McKeown, Fabio Stella, Gary Hall. Some numerical aspects of the training problem for feed-forward neural nets
1465 -- 1471J. A. Dente, Rui Vilela Mendes. Characteristic Functions and Process Identification by Neural Networks
1473 -- 1494Gail A. Carpenter. Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks
1495 -- 1503Young-Sup Hwang, Sung Yang Bang. An Efficient Method to Construct a Radial Basis Function Neural Network Classifier
1505 -- 1521Hengchang Dai, Colin MacBeth. Effects of Learning Parameters on Learning Procedure and Performance of a BPNN
1523 -- 1531Buyurman Baykal, Anthony G. Constantinides. A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering
1533 -- 1534Michael Schmitt. Proving Hardness of Neural Network Training Problems

Volume 10, Issue 7

1175 -- 1183Walter J. Freeman. Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality
1185 -- 1194John G. Taylor, Hans-W. Müller-Gärtner. Non-Invasive Analysis of Awareness
1195 -- 1206James Newman, Bernard J. Baars, Sung-Bae Cho. A Neural Global Workspace Model for Conscious Attention
1207 -- 1225John G. Taylor. Neural networks for consciousness
1227 -- 1240Edmund T. Rolls. Consciousness in Neural Networks?
1241 -- 1255Erich Harth. From Brains to Neural Nets to Brains
1257 -- 1268Jeffrey A. Gray, Catalin V. Buhusi, Nestor A. Schmajuk. The Transition from Automatic to Controlled Processing
1269 -- 1288Javier Ropero Peláez. Plato s theory of ideas revisited
1289 -- 1302Mitsuyuki Nakao, Iwao Honda, Miroslav Musila, Mitsuaki Yamamoto. Metastable associative network models of dream sleep
1303 -- 1316Chris Browne, Richard G. Evans, Nick J. Sales, Igor Aleksander. Consciousness and neural cognizers: a review of some recent approaches
1317 -- 1331Ron Sun. Learning, action and consciousness: a hybrid approach toward modelling consciousness
1333 -- 1343Robert Alan Brown. Consciousness in a Self-Learning, Memory-Controlled, Compound Machine

Volume 10, Issue 6

971 -- 979Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada. Neural Network Model of Spatial Memory: Associative Recall of Maps
981 -- 992Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen. Task-Dependent Learning of Attention
993 -- 1015Eric O. Postma, H. Jaap van den Herik, Patrick T. W. Hudson. SCAN: A Scalable Model of Attentional Selection
1017 -- 1036Mark Moll, Risto Miikkulainen. Convergence-Zone Episodic Memory: Analysis and Simulations
1037 -- 1052Miguel A. Andrade, Federico Morán. Receptive Field Map Development by Anti-Hebbian Learning
1053 -- 1059Cyril Goutte, Lars Kai Hansen. Regularization with a Pruning Prior
1061 -- 1068Vera Kurková, Paul C. Kainen, Vladik Kreinovich. Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces
1069 -- 1081Jean-Gabriel Attali, Gilles Pagès. Approximations of Functions by a Multilayer Perceptron: a New Approach
1083 -- 1088Roberto Odorico. Learning Vector Quantization with Training Count (LVQTC)
1089 -- 1102Hanzhong Gu, Haruhisa Takahashi. Estimating Learning Curves of Concept Learning
1103 -- 1107Kazuo Yamanaka, Masahiro Agu, Teruyuki Miyajima. A Continuous-Time Asynchronous Boltzmann Machine
1109 -- 1116Jinwen Ma. The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode
1117 -- 1131M. Paul Gough. Associative List Memory
1133 -- 1141Chuanyi Ji, Demetri Psaltis. Network Synthesis through Data-Driven Growth and Decay
1143 -- 1151Michele Zamparelli. Genetically Trained Cellular Neural Networks
1153 -- 1163Miroslaw Galicki, Herbert Witte, Jens Dörschel, Michael Eiselt, Gert Grießbach. Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition

Volume 10, Issue 5

781 -- 784Irwin W. Sandberg, Lilian Xu. Uniform Approximation and Gamma Networks
785 -- 789Vladimir I. Makarenko, John P. Welsh, Eric J. Lang, Rodolfo R. Llinás. A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields
791 -- 814Edgar Koerner, Hiroshi Tsujino, Tomohiko Masutani. A Cortical-type Modular Neural Network for Hypothetical Reasoning
815 -- 831Bruce Fischl, Michael A. Cohen, Eric L. Schwartz. The Local Structure of Space-variant Images
833 -- 843Hideki Kakeya, Toshiki Kindo. Eigenspace Separation of Autocorrelation Memory Matrices for Capacity Expansion
845 -- 855Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev. Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation
857 -- 873Jürgen Schmidhuber. Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability
875 -- 883John A. Flanagan. Analysing a Self-organising Algorithm
885 -- 896Lutz Prechelt. Investigation of the CasCor Family of Learning Algorithms
897 -- 906Xiaodong Tian, Anthony Kuh. Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary
907 -- 923Charles L. Wilson, James L. Blue, Omid M. Omidvar. Training Dynamics and Neural Network Performance
925 -- 939Chee Peng Lim, Robert F. Harrison. An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation
941 -- 963Shin Ishii, Masa-aki Sato. Chaotic Potts Spin Model for Combinatorial Optimization Problems

Volume 10, Issue 4

593 -- 597Christian Mazza. On the Storage Capacity of Nonlinear Neural Networks
599 -- 614Sherif Hashem. Optimal Linear Combinations of Neural Networks
615 -- 637Johan A. K. Suykens, Bart De Moor, Joos Vandewalle. NL::q:: Theory: A Neural Control Framework with Global Asymptotic Stability Criteria
639 -- 648V. W. Noonburg. Threshold-dependent Limit Cycles in a Nonlinear Network Model
649 -- 669Maartje E. J. Raijmakers, Peter C. M. Molenaar. Exact ART: A Complete Implementation of an ART Network
671 -- 682David D. Vogel, William Boos. Sparsely Connected, Hebbian Networks with Strikingly Large Storage Capacities
683 -- 691Gustavo Deco, Lucas C. Parra. Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network
693 -- 703Jean-François Leber, Andreas Jarosch. OpenSim: A Flexible Distributed Neural Network Simulator with Automatic Interactive Graphics
705 -- 720Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury. Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space
721 -- 735Javier E. Vitela, Jaques Reifman. Premature Saturation in Backpropagation Networks: Mechanism and Necessary Conditions
737 -- 753Chin-Der Wann, Stelios C. A. Thomopoulos. A Comparative Study of Self-organizing Clustering Algorithms Dignet and ART2
755 -- 774Chee Peng Lim, Robert F. Harrison. Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration

Volume 10, Issue 3

395 -- 400Alessandro Sperduti. On the Computational Power of Recurrent Neural Networks for Structures
401 -- 407Gustavo Deco, Ralph Neuneier, Bernd Schürmann. Non-parametric Data Selection for Neural Learning in Non-stationary Time Series
409 -- 411Matthias Blume, Sadik C. Esener. An Efficient Mapping of Fuzzy ART onto a Neural Architecture
413 -- 421Tatsuo Kitajima, Ken-ichi Hara. An Integrated Model for Activity-dependent Synaptic Modifications
431 -- 446Marc M. Van Hulle. Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule
447 -- 457David A. Sprecher. A Numerical Implementation of Kolmogorov s Superpositions II
459 -- 478Srinivasa V. Chakravarthy, Joydeep Ghosh. Function Emulation Using Radial Basis Function Networks
479 -- 497Dirk Husmeier, John G. Taylor. Predicting Conditional Probability Densities of Stationary Stochastic Time Series
499 -- 504Philippe De Wilde. The Magnitude of the Diagonal Elements in Neural Networks
505 -- 516Christian Schittenkopf, Gustavo Deco, Wilfried Brauer. Two Strategies to Avoid Overfitting in Feedforward Networks
517 -- 527Xiao-Hu Yu, Guo-An Chen. Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum
529 -- 537Roelof K. Brouwer. Automatic Growing of a Hopfield Style Network During Training for Classification
539 -- 553Behnam S. Arad, Ahmed El-Amawy. On Fault Tolerant Training of Feedforward Neural Networks
555 -- 560Maria Alberta Alberti, Alberto Bertoni, Paola Campadelli, Giuliano Grossi, Roberto Posenato. A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
561 -- 572P. P. Raghu, B. Yegnanarayana. Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network
573 -- 586Yi Cheng, Thomas W. Karjala, David M. Himmelblau. Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets

Volume 10, Issue 2

201 -- 229Valentin Dragoi. A Dynamic Theory of Acquisition and Extinction in Operant Learning
231 -- 241Robert A. Jacobs, Fengchun Peng, Martin A. Tanner. A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures
243 -- 256Sheng Ma, Chuanyi Ji, James Farmer. An Efficient EM-based Training Algorithm for Feedforward Neural Networks
257 -- 262Colin Fyfe. A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit
263 -- 271Mattias Ohlsson, Hong Pi. A Study of the Mean Field Approach to Knapsack Problems
291 -- 297Fa-Long Luo, Rolf Unbehauen, Andrzej Cichocki. A Minor Component Analysis Algorithm
299 -- 314Elias B. Kosmatopoulos, Manolis A. Christodoulou, Petros A. Ioannou. Dynamical Neural Networks that Ensure Exponential Identification Error Convergence
315 -- 326Neil A. Thacker, Ian Abraham, Patrick Courtney. Supervised Learning Extensions to the CLAM Network
327 -- 334Michel Cosnard, Eric Goles Ch.. Discrete State Neural Networks and Energies
335 -- 342Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia. Multilayer Perceptrons to Approximate Quaternion Valued Functions
343 -- 352Denise Gorse, Adrian J. Sheperd, John G. Taylor. The New ERA in Supervised Learning
353 -- 367Syozo Yasui. Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs
369 -- 385Thomas Elsken. Even on Finite Test Sets Smaller Nets may Perform Better

Volume 10, Issue 1

1 -- 6Allen M. Waxman, Alan N. Gove, David A. Fay, Joseph P. Racamato, James E. Carrick, Michael Seibert, Eugene D. Savoye. Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery
7 -- 24Vivek Anumolu, Norman W. Bray, Kevin D. Reilly. Neural Network Models of Strategy Development in Children
25 -- 29Jinwen Ma. Simplex Memory Neural Networks
31 -- 49Athanasios Kehagias, Vassilios Petridis. Predictive Modular Neural Networks for Time Series Classification
51 -- 59Barak Cohen, David Saad, Emanuel Marom. Efficient Training of Recurrent Neural Network with Time Delays
61 -- 68Charles W. Lee. Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization
69 -- 82George D. Magoulas, Michael N. Vrahatis, George S. Androulakis. Effective Backpropagation Training with Variable Stepsize
83 -- 98Masaharu Adachi, Kazuyuki Aihara. Associative Dynamics in a Chaotic Neural Network
99 -- 109Assaf J. Zeevi, Ronny Meir. Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds
111 -- 123Jong-Chen Chen, Michael Conrad. Pattern Categorization and Generalization with a Virtual Neuromolecular Architecture
125 -- 137Renzo Perfetti, Emanuele Massarelli. Training Spatially Homogeneous Fully Recurrent Neural Networks in Eigenvalue Space
139 -- 151Ryan G. Rosandich. HAVNET: A New Neural Network Architecture for Pattern Recognition
153 -- 159Jun Tani, Naohiro Fukumura. Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO
161 -- 182Kumar S. Ray, Jayati Ghoshal. Neuro Fuzzy Approach to Pattern Recognition
183 -- 195Jia Wang, Zhenyuan Wang. Using Neural Networks to Determine Sugeno Measures by Statistics